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Evaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound

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dc.contributor.author육지현-
dc.date.accessioned2018-08-28T16:43:44Z-
dc.date.available2018-08-28T16:43:44Z-
dc.date.issued2018-
dc.identifier.issn0720-048X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161877-
dc.description.abstractOBJECTIVES: To investigate the automated breast volume scanner (ABVS) in comparison with hand-held ultrasound (HHUS) according to the fifth edition of BI-RADS ultrasound. MATERIAL AND METHODS: A total of 831 lesions in 786 patients who underwent both HHUS and ABVS were included. Three radiologists independently evaluated the sonographic features of each lesion according to the fifth BI-RADS edition. The kappa coefficient (kappa) was calculated for each BI-RADS descriptor and final assessment category. The accuracy of malignancy prediction and diagnostic performance of the BI-RADS descriptors were assessed using multivariate logistic regression and area under the receiver operator characteristic curve (AUC), respectively. RESULTS: ABVS and HHUS showed moderate to good interobserver agreement (kappa=0.53-0.67 and 0.55-0.70, respectively) except in associated features (kappa=0.31 and 0.36, respectively) for BI-RADS lexicons. Irregular shape, a non-circumscribed margin, and posterior features (combined or shadowing) were independently associated with malignancy in both ABVS and HHUS. Calcification presence on ABVS (odds ratio [OR], 95% confidence interval [CI]: 2.09, 1.11-3.94) and non-parallel orientation on HHUS (OR, 95% CI: 2.04, 1.10-3.78) were independently associated with malignancy. There were no significant differences between ABVS and HHUS in sensitivity (84.2% vs. 84.2%), specificity (80.5% vs. 83.9%), or AUC (0.88 vs. 0.90). CONCLUSIONS: According to the fifth BI-RADS edition, ABVS is not statistically significantly different from HHUS with regard to interobserver variability and diagnostic performance.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier Science Ireland Ltd-
dc.relation.isPartOfEUROPEAN JOURNAL OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdolescent-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHBreast/*pathology-
dc.subject.MESHBreast Neoplasms/*pathology-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHComputer-Assisted Image Interpretation-
dc.subject.MESHMiddle Aged-
dc.subject.MESHObserver Variation-
dc.subject.MESHOrgan Size/physiology-
dc.subject.MESHAutomated Pattern Recognition-
dc.subject.MESHROC Curve-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTumor Burden/physiology-
dc.subject.MESHMammary/methods Ultrasonography-
dc.subject.MESHYoung Adult-
dc.titleEvaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorEun Jung Choi-
dc.contributor.googleauthorHyemi Choi-
dc.contributor.googleauthorEun Hae Park-
dc.contributor.googleauthorJi Soo Song-
dc.contributor.googleauthorJi Hyun Youk-
dc.identifier.doi10.1016/j.ejrad.2018.01.002-
dc.contributor.localIdA02537-
dc.relation.journalcodeJ00845-
dc.identifier.eissn1872-7727-
dc.identifier.pmid29362145-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0720048X18300020-
dc.subject.keywordAutomated breast volume scanner-
dc.subject.keywordBreast imaging reporting and data system-
dc.subject.keywordBreast neoplasms-
dc.subject.keywordHand-held ultrasound-
dc.subject.keywordMammary-
dc.subject.keywordUltrasonography-
dc.contributor.alternativeNameYouk, Ji Hyun-
dc.contributor.affiliatedAuthorYouk, Ji Hyun-
dc.citation.volume99-
dc.citation.startPage138-
dc.citation.endPage145-
dc.identifier.bibliographicCitationEUROPEAN JOURNAL OF RADIOLOGY, Vol.99 : 138-145, 2018-
dc.identifier.rimsid59469-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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